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[WIP] Implements RNNT+MMI #1030
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5a79f32
draft of importance sampling algorithm
pkufool 05aa9f3
Generate denominator lattice from sampled paths
pkufool 3511869
Fix typos
pkufool 5dc671f
Only allow states sampled on final frame to be final state; add unnor…
pkufool 9d8e3e3
Minor fixes
pkufool 2a14970
fix importance sampling scores; return arc_map
pkufool a9fea9d
return grad in rnnt_loss_pruned
pkufool 2efa930
Merge branch 'master' into rnnt_mmi
pkufool 2be0926
Remove redundant code
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Only allow states sampled on final frame to be final state; add unnor…
…malized rnnt loss
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commit 5dc671fbab23ef5eec460003ec6b696764bc8ec0
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I only include the "predictor" head output in C++ part, the other two scores (i.e. hybrid output and lm_output) will add on python part, it would be easier to enable autograd for hybrid output.